Agent DevOps Platform Engineer
Hands-on platform engineer who designs and operates AI agents automating the software delivery lifecycle, builds CI/CD pipelines across Java, Python, Node.js and .NET, and runs secure AWS infrastructure (ECS/EKS/Lambda) with IaC, containers and DevSecOps baked in. Toronto-based, on-site role.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- 3-5 years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
- Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting
- Working experience with at least one additional language or ecosystem such as Java, .NET, Groovy, or Node.js
- Hands-on AWS experience designing or operating production workloads
- Practical knowledge of AWS IAM (roles, policies, trust relationships, cross-account access, least privilege, service-to-service authentication)
- Production experience building and deploying containers with Docker and a platform such as Kubernetes, Amazon ECS, or Amazon EKS
- Experience building or integrating AI/LLM-based tools or agents in production or near-production environments
- Strong understanding of LLMOps concepts: prompt management, tool use, agent architectures, evaluation, observability, reliability
- Experience with Git-based workflows, build automation, and release pipelines at scale
- Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments
- DevSecOps mindset - security as a design constraint, not a checklist item
Nice to have
- Experience with AWS services such as EKS, ECS, ECR, Lambda, Bedrock, CloudWatch, S3, Secrets Manager, Systems Manager, VPC
- Experience with Terraform, CloudFormation, or AWS CDK
- Prior work on agentic orchestration frameworks
- Experience building AI-driven automation tools
- Knowledge of AI/LLM-based tools and their integration into platforms
- Agile delivery experience using methodologies like Scrum or Kanban
Full description
AGENT DEVOPS PLATFORM ENGINEERROLE DESCRIPTIONS
Design and operate AI agents that automate tasks across the software development lifecycle. Build and maintain fully automated CICD pipelines for various programming ecosystems. Ensure security and compliance in AI solutions from the start. Coach teams towards automation-first practices through practical examples. Define platform standards that delivery teams can adopt independently.
ROLE SUMMARY AGENT DEVOPS PLATFORM ENGINEER
A highly hands-on engineering role responsible for designing, building, and operating AI-driven software delivery platforms, DevOps automation, cloud infrastructure, and security-first CICD ecosystems. The engineer will develop and deploy production-grade AI agents, automate software delivery processes, build secure AWS-based platforms, and establish reusable DevSecOps standards across the organization.
KEY RESPONSIBILITIES
- Design and operate AI agents and agentic pipelines to automate SDLC activities such as testing, deployment validation, vulnerability remediation, and release management.
- Build and maintain enterprise CICD platforms across Java, Python, Node.js, and .NET environments.
- Develop cloud-native solutions on AWS using ECS, EKS, Lambda, ECR, CloudWatch, S3, Secrets Manager, and related services.
- Implement Infrastructure as Code (IaC), containerization, Kubernetes orchestration, and DevOps automation.
- Manage AWS IAM, security controls, identity governance, and least-privilege access models.
- Embed security, compliance, vulnerability scanning, and automated remediation directly into delivery pipelines.
- Define reusable platform standards, automation patterns, and self-service capabilities for engineering teams.
- Provide technical leadership and guidance through practical implementation and working solutions.
ESSENTIAL SKILLS
- Experience with additional programming languages such as Java or .NET is beneficial.
- Familiarity with Infrastructure as Code tools like Terraform or CloudFormation is a plus.
- Knowledge of AI/LLM-based tools and their integration into platforms is advantageous.
- Agile delivery experience using methodologies like Scrum or Kanban is helpful.
- Prior work on agentic orchestration frameworks is a strong asset.
- Strong experience in CICD automation and AWS infrastructure is essential.
- Proficiency in Python for automation and API integrations is required.
- Familiarity with containerization technologies like Docker and Kubernetes is necessary.